Job description
***This role is contingent on bid award***
Aretum is looking for a talented AI/ML Engineer to join our team on a contingent basis. In this role, you will leverage your expertise in artificial intelligence and machine learning to drive innovative solutions and contribute to the development of advanced AI applications. As a member of our team, you will work closely with data scientists, software engineers, and other stakeholders to implement machine learning models, optimize algorithms, and enhance system performance.
Aretum specializes in delivering cutting-edge technology solutions to various sectors, including government and commercial clients. Our mission is to harness the power of AI and ML to improve decision-making processes and drive actionable insights.
Responsibilities
Design, develop, and implement machine learning models and algorithms to solve complex problems
Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and applications
Analyze large datasets and extract meaningful insights to inform business strategies
Optimize and fine-tune machine learning algorithms for improved performance and scalability
Conduct experiments and A/B testing to validate model effectiveness and enhance performance
Stay up-to-date with industry trends and emerging technologies in AI and ML
Communicate findings and present technical information to both technical and non-technical stakeholders
Document processes, designs, and code for maintainability and compliance
Participate in code reviews and ensure best practices in software development are followed
Active Secret Clearance required
Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field
Proven experience working as an AI/ML Engineer or Data Scientist with a focus on machine learning techniques
Strong programming skills in Python; experience with relevant libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Solid understanding of machine learning algorithms, statistical methods, and data analysis
Experience with data preprocessing, feature engineering, and model evaluation techniques
Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus
Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and their machine learning services
Strong analytical and problem-solving skills
Ability to work independently and collaboratively in a fast-paced environment
Excellent communication skills, both verbal and written
Preferred Skills:
Experience with deep learning techniques and neural networks
Familiarity with natural language processing (NLP) and computer vision tools
Publication or contributions to open-source projects related to AI/ML will strengthen the application.
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Work From Home
